Understanding Advanced Statistical Methods PDF ePub eBook

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Understanding Advanced Statistical Methods free pdf

Designed for mathematical statistics courses, this textbook introduces calculus and probability topics in an accessible way so that students can easily understand and apply the concepts. Simulations and computing are used throughout to help introduce and illustrate topics. In addition, many exercises and examples span various disciplines. The book discusses Bayesian statistics before frequentist statistics, thoroughly covers populations versus processes, and emphasizes the use of statistical models as recipes for producing data.

About Peter Westfall

Peter H. Westfall is the Paul Whitfield Horn Professor of Statistics and James Niver Professor of Information Systems and Quantitative Sciences at Texas Tech University. A Fellow of the ASA and the AAAS, Dr. Westfall has published several books and over 100 papers on statistical theory and methods. He also has won several teaching awards and is the former editor of The American Statistician. He earned a PhD in statistics from the University of California, Davis. Kevin S.S. Henning is a clinical assistant professor of business analysis in the Department of Economics and International Business at Sam Houston State University, where he teaches business statistics and forecasting. He earned a PhD in business statistics from Texas Tech University.

Details Book

Author : Peter Westfall
Publisher : CRC Press
Data Published : 15 April 2013
ISBN : 1466512105
EAN : 9781466512108
Format Book : PDF, Epub, DOCx, TXT
Number of Pages : 528 pages
Age + : 15 years
Language : English
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    Designed for mathematical statistics courses, this textbook introduces calculus and probability topics in an accessible way so that students can easily understand and apply t